Generate a Gaussian noise distribution.
gauss_distribution generates a Gaussian noise distribution. The parameter Sigma determines the noise's standard deviation. Usually, the result Distribution is used as input for the operator add_noise_distribution.
|
Sigma (input_control) |
real -> real |
| Standard deviation of the Gaussian noise distribution. | |
| Default value: 2.0 | |
| Suggested values: 1.5, 2.0, 3.0, 5.0, 10.0 | |
| Typical range of values: 0.0 <= Sigma <= 100.0 | |
| Minimum increment: 0.1 | |
|
Recommended increment: 1.0 | |
|
Distribution (output_control) |
distribution.values-array -> real |
| Resulting Gaussian noise distribution. | |
| Number of elements: 513 | |
read_image(Image,'fabrik') disp_image(Image,WindowHandle) gauss_distribution(30,Dist) add_noise_distribution(Image,ImageNoise,Dist) disp_image(ImageNoise,WindowHandle).
gauss_distribution is reentrant and processed without parallelization.
sp_distribution, noise_distribution_mean
sp_distribution, add_noise_white, noise_distribution_mean
Foundation
